Quaternion-Based Unscented Kalman Filter for Accurate Indoor Heading Estimation Using Wearable Multi-Sensor System

Inertial navigation based on micro-electromechanical system (MEMS) inertial measurement units (IMUs) has attracted numerous researchers due to its high reliability and independence. The heading estimation, as one of the most important parts of inertial navigation, has been a research focus in this f...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 15; no. 5; pp. 10872 - 10890
Main Authors:	Yuan, Xuebing, Yu, Shuai, Zhang, Shengzhi, Wang, Guoping, Liu, Sheng
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 07.05.2015 MDPI
Subjects:	Accuracy Algorithms Gyroscopes heading estimation Indoor indoor navigation Inertial navigation Kalman filters Localization Magnetometers multi-sensor Power quaternion Radio frequency identification Rotorcraft Sensors Unmanned aerial vehicles unscented Kalman filter Wearable China
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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